Dataiku Updates Signature Platform, Making it a Hub for Data Science Projects

Dataiku is unveiling Dataiku 4.1, providing a new and improved platform suite that will help users to prototype, build, scale, deploy, and manage advanced data science products.

“We are focused on building a platform that is a single hub for an enterprise’s data science and machine learning development - that’s what this release reflects,” said Florian Douetteau, CEO of Dataiku. “Many of our customers already use Dataiku with hundreds of users from all different backgrounds, from data engineers, to developers, to non-technical analysts, to perform advanced analytics and to develop data science solutions. This latest release strengthens enterprise scale development and deployment of these solutions among and across teams.”

Dataiku 4.1 has been designed to accelerate scalable deployment while maintaining its powerful core functionalities such as point-and-click interfaces for data preparation and analysis, customizable tools to facilitate cutting-edge and efficient data science, and straightforward solutions for deploying, monitoring, and governing models in production.

In its latest release, Dataiku is introducing new features that further expand its capabilities as a single platform for everyone, including coders and clickers, spread across any sized organization around the world. “

The update introduces new data preparation “recipes” within the Dataiku graphical interface that bring powerful analytical functionalities to non-coders, including pivoting, sorting, and splitting datasets.

Additionally, Dataiku 4.1 now supports reproducible environments, which properly isolate projects and reproduce the runtime condition throughout the deployment phase.